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zebbern

Webhook.site MCP Server

by zebbern

generate_canary_token

Create trackable URLs, DNS lookups, or email trackers that alert you when accessed, to detect unauthorized access or data leakage.

Instructions

Generate canary tokens for detecting unauthorized access or data leakage. Creates trackable URLs that alert you when accessed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierNoCustom identifier for the canary (e.g., 'confidential-doc', 'admin-panel')
token_typeNoType of canary token: 'url' (web link), 'dns' (DNS lookup), 'email' (email tracker)url
webhook_tokenYesThe webhook token (UUID) from webhook.site
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It states the tool creates trackable URLs that alert upon access, which is adequate but lacks details on side effects, storage, or rate limits. The description does not contradict annotations as there are none.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise with two sentences, no unnecessary words. It is front-loaded with the core purpose, providing immediate clarity without fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema and the description fails to explain what is returned (e.g., the generated token URL). Given three parameters and no output documentation, the description is incomplete for an AI agent to understand the full effect of the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the input schema already documents all three parameters adequately. The description does not add any additional meaning or usage context beyond what is in the schema, such as how to choose token_type or format of webhook_token.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: generating canary tokens for detecting unauthorized access or data leakage. It uses specific verbs ('Generate', 'Creates') and resource ('canary tokens', 'trackable URLs'), effectively distinguishing it from sibling tools like generate_ssrf_payload or generate_xss_callback which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for detecting unauthorized access or data leakage, but it does not explicitly state when to use this tool versus alternatives like generate_ssrf_payload or generate_xss_callback. No when-not or alternative tools are mentioned, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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